Face Recognition

Machine Learning Project to recognise faces with Real time face liveliness detection.

Build with dlib's face-recognition model

model used

• dlib_face_recognition_resnet_model_v1.dat
• shape_predictor_68_face_landmarks.dat
• opencv classifier haarcascade_frontalface_default.xml
• opencv haarcascade_eye_tree_eyeglasses.xml
• opencv haarcascade_lefteye_2splits.xml
• opencv haarcascade_righteye_2splits.xml

Instruction

• Clone this repository https://github.com/arijitiiest/Face-Recognition
• Download the models and copy to models folder
• Download opencv classifier and copy to opencv folder

  $ pip install requirements.txt
  $ mkdir data/training_images

• create images, image name should be person name

  $ python create_encodings.py 
  $ python webcam.py

Credits

• Thanks to Davis King for creating dlib and for providing the trained facial feature detection and face encoding models used in this project.
• Thanks to Adam Geitgey whose blog inspired me to make this project.
• Thanks to Jordon Van Eetveldt for this blog post for the idea to detect liveliness of face.